Pollutant—particle associations and dynamics in coastal marine environments: a review

Olsen, Curtis R.; Cutshall, N.H.; Larsen, I.L.

doi:10.1016/0304-4203(82)90001-9

Cited by 244 publications

(72 citation statements)

References 112 publications

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“…Research on the distribution and fate of contaminants in estuarine and coastal environments has shown that many chemically reactive contaminants become associated with fine particles and that the rate, pattern, and extent of contaminant accumulation can be extremely variable (Troup and Bricker, 1975;Hites et al, 1977;Schubel and Meade, 1977;Turekian, 1977;Olsen et al, 1982;Sharp et al, 1982;Brush, 1989;Dyer, 1989;Smith and Levy, 1990;Sugai, 1990;Tanaka et al, 1991). Contaminant distribution variability has been attributed to variations in input sources, the reactivity of different particle types, the net rate and pattern of fine-particle deposition, and the extent of surface sediment mixing (Turekian et al, 1980;Bopp et al, 1982;Olsen et al, 1984;Schropp et al, 1990;Venkatesan and Kaplan, 1990).…”

Section: Discussionmentioning

confidence: 99%

A survey of benthic sediment contaminants in reaches of the Columbia River Estuary based on channel sedimentation characteristics

Counihan

Waite

Nilsen

et al. 2014

Science of The Total Environment

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• We modeled sedimentation patterns in three reaches in the Columbia River Estuary.• Sediment transport model is used to guide bottom sediment sample allocation.• Organic carbon levels are correlated with predicted sedimentation patterns.• Sediment contaminants are correlated with predicted sedimentation patterns.• Longitudinal contaminant trends comport to trends in resident bird and fish tissues. While previous studies have documented contaminants in fish, sediments, water, and wildlife, few specifics are known about the spatial distribution of contaminants in the Columbia River Estuary (CRE). Our study goal was to characterize sediment contaminant detections and concentrations in reaches of the CRE that were concurrently being sampled to assess contaminants in water, invertebrates, fish, and osprey (Pandion haliaetus) eggs. Our objectives were to develop a survey design based on sedimentation characteristics and then assess whether sediment grain size, total organic carbon (TOC), and contaminant concentrations and detections varied between areas with different sedimentation characteristics. We used a sediment transport model to predict sedimentation characteristics of three 16 km river reaches in the CRE. We then compartmentalized the modeled change in bed mass after a two week simulation to define sampling strata with depositional, stable, or erosional conditions. We collected and analyzed bottom sediments to assess whether substrate composition, organic matter composition, and contaminant concentrations and detections varied among strata within and between the reaches. We observed differences in grain size fractions between strata within and between reaches. We found that the fine sediment fraction was positively correlated with TOC. Contaminant concentrations were statistically different between depositional vs. erosional strata for the industrial compounds, personal care products and polycyclic aromatic hydrocarbons class (Indus-PCP-PAH). We also observed significant differences between strata in the number of detections of Indus-PCP-PAH (depositional vs. erosional; stable vs. erosional) and for the flame retardants, polychlorinated biphenyls, and pesticides class (depositional vs. erosional, depositional vs. stable). When we estimated mean contaminant concentrations by reach, we observed higher contaminant concentrations in the furthest downstream reach with a decreasing trend in the two upstream reaches. Contaminant survey designs that account for sedimentation characteristics could increase the probability that sampling is allocated to areas likely to be contaminated. a b s t r a c t a r t i c l e i n f oPublished by Elsevier B.V.

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Section: Discussionmentioning

confidence: 99%

A survey of benthic sediment contaminants in reaches of the Columbia River Estuary based on channel sedimentation characteristics

Counihan

Waite

Nilsen

et al. 2014

Science of The Total Environment

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“…Coral reefs are negatively impacted by the deposition of TSM [10,11]. Several investigators [12][13][14] have reported the redistribution and transport of water-borne pathogens, pollutants, and other materials associated with TSM dynamics thereby proving a direct link between TSM and human health. Hence, there is considerable interest in monitoring the transport and fate of TSM from a broad range of investigators, environmental managers, and policy makers.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Sensor Approach to Examining the Distribution of Total Suspended Matter (TSM) in the Albemarle-Pamlico Estuarine System, NC, USA

et al. 2011

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For many coastal waters, total suspended matter (TSM) plays a major role in key biological, chemical and geological processes. Effective mapping and monitoring technologies for TSM are therefore needed to support research investigations and environmental assessment and management efforts. Although several investigators have demonstrated that TSM or suspended sediments can be successfully mapped using MODIS 250 m data for relatively large water bodies, MODIS 250 m data is of more limited use for smaller estuaries and bays or aquatic systems with complex shoreline geometry. To adequately examine TSM in the Albemarle-Pamlico Estuarine System (APES) of North Carolina, the large-scale synoptic view of MODIS and the higher spatial resolution of other sensors are required. MODIS, Landsat 7 ETM+ and FORMOSAT-2 remote sensing instrument (RSI) data were collected on 8 November, 24 November and 10 December, 2010. Using TSM images (mg/L) derived from MODIS 250 m band 1 (620-670 nm) data, Landsat 7 ETM+ 30 m band 3 (630-690 nm) and FORMOSAT-2 RSI 8 m band 3 (630−690 nm) atmospherically corrected images were calibrated to TSM for select areas of the APES. There was a significant linear relationship between both Landsat 7 ETM+ (r 2 = 0.87, n = 599, P < 0.001) and FORMOSAT-2 RSI (r 2 = 0.95, n = 583, P < 0.001) OPEN ACCESSRemote Sens. 2011, 3 963 reflectance images and MODIS-derived TSM concentrations, thus providing consistent estimates of TSM at 250, 30 and 8 m pixel resolutions. This multi-sensor approach will support a broad range of investigations on the water quality of the APES and help guide sampling schemes of future field campaigns.

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“…These processes may include physical self-purification such as transport to the out sea by hydrodynamic processes; biological selfpurification such as bio-concentration by phytoplankton and other aquatic organisms as well as transfer from lower to higher trophic levels in food webs; and chemical self-purification such as adsorption by suspended particulate matter and sediments, and the sedimentation and physical entrapment of enriched particulate matter [21][22][23][24]. Allan pointed out that particulate matter is an extremely important substrate for the transportation of metals in marine systems [25].…”

Section: Setting Up the Numerical Modelmentioning

confidence: 99%

“…where C is the concentration of the metal variable, S is the source term, D SS is the uptake of metal by sediments and suspended particulates, O is the output term by hydrodynamic process, H is the total water depth (mean sea level plus free surface elevation), v S refers to the sinking speed of suspended particulates, k S refers to the thermodynamic partition coefficient between dissolved metals and suspended particulates [24], k hyd refers to the hydrodynamic exchanging coefficient with the out sea, and C S and C out are the concentrations of suspended particulates and metal in the out sea, respectively.…”

Section: Setting Up the Numerical Modelmentioning

confidence: 99%

Calculation methodology of marine environmental capacity for heavy metal: A case study in Jiaozhou Bay, China

Wang

2012

Chin. Sci. Bull.

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Results from past pollution control practices show that environmental quality can be ensured by controlling the actual amount of pollutants formed in the environment. Therefore, the marine environmental capacity for heavy metals was introduced. Marine environmental capacity for heavy metals is defined as the maximum amount of heavy metals permitted in the marine environment system to preserve the benign cycle of materials in the oceansphere, and to limit the adverse effects of heavy metals on the biosphere, hydrosphere, atmosphere, and lithosphere. Based on the box or three-dimensional model in the target coastal region, including the self-purification and output of heavy metals, the marine environmental capacity for heavy metals can be calculated within a given criterion and time. In this study, a method was proposed to calculate the marine environmental capacity for heavy metals which includes four steps: (1) gathering the basis information of target coastal ecosystem, (2) selection of water control points and water quality criteria for these points, (3) development of numerical models for the biogeochemical cycling of heavy metals in target coastal region, and (4) calculation of environmental capacity using the developed model. According to the proposed method, the marine environmental capacity for lead is approximately 60 tons per year if Grade I seawater quality is set as the control criterion in Jiaozhou Bay. An effective seawater quality management plan can also be framed based on the environmental capacity for metals. marine environmental capacity, calculation methodology, lead, model, Jiaozhou Bay Citation:Li K Q, Wang X L. Calculation methodology of marine environmental capacity for heavy metal: A case study in

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Pollutant—particle associations and dynamics in coastal marine environments: a review

Cited by 244 publications

References 112 publications

A survey of benthic sediment contaminants in reaches of the Columbia River Estuary based on channel sedimentation characteristics

A survey of benthic sediment contaminants in reaches of the Columbia River Estuary based on channel sedimentation characteristics

A Multi-Sensor Approach to Examining the Distribution of Total Suspended Matter (TSM) in the Albemarle-Pamlico Estuarine System, NC, USA

Calculation methodology of marine environmental capacity for heavy metal: A case study in Jiaozhou Bay, China

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